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Crafting proposal feedback surveys

Crafting proposal feedback surveys can be made easier with the help of ChatGPT. ChatGPT is a language model that can assist you in generating survey questions and feedback templates. By providing prompts and context, ChatGPT can help you create effective and concise surveys that can help you gather valuable feedback from your stakeholders.

Sales

Prompts

Copy a prompt, replace placeholders with relevant text, and paste it at our chat
Prompt # 1
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In an effort to optimize the data collection process and ensure we obtain the most relevant and actionable feedback on our recently proposed project, [Project Name], I solicit your assistance in the generation of comprehensive survey questions. The target respondents for this survey include our [stakeholders/clients/customers] and we aim to gain deep insights on various aspects of our proposal that were well-received, areas that did not quite resonate, as well as suggestions for potential improvement. ​To ensure consistency in the survey questions and facilitate a thorough analysis of the feedback, please consider a blend of both qualitative and quantitative questions, incorporating Likert scale responses, multiple-choice options, open-ended questions, and ranking systems where applicable. ​For an effective feedback loop, we need to understand the reasons behind their [likes/dislikes/suggestions for improvement] about our proposal, so that we can tailor our approach, refine our strategy, and enhance the overall quality of our work. ​We encourage the use of probing questions to dig deeper into their perceptions and attitudes, and also consider questions that address both macro and micro perspectives of our proposal. The ultimate goal is to obtain a 360-degree view of our proposal’s impact and performance from the standpoint of our [stakeholders/clients/customers].

Prompt # 2
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"I need assistance in crafting a survey that will help us assess the effectiveness of our proposal presentation. Can you suggest some questions that we can include in the survey to gather feedback on [the overall message/quality of the visuals/our presentation skills]? We also want to know [what was memorable/what could have been better/what questions they had]."

Prompt # 3
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"We're looking to gather feedback on our project proposal's content and structure. Can you provide some suggestions on how we can frame our questions to gather this information? We want to know [what parts were confusing/what was missing/what could be more impactful]. It would also be helpful to understand [what they learned/what was new/what was surprising]."

Prompt # 4
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"Our organization is considering implementing a new project proposal process, and we want to get feedback from our team members. Can you help me generate a survey to collect their thoughts and opinions on the new process? We'd like to know [how clear the process is/what steps need more explanation/what steps could be removed]. We also want to understand [what challenges they foresee/what benefits they see/what improvements they suggest]."

Prompt # 5
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"We're looking to improve our proposal review process and want to gather feedback from our reviewers. Can you assist me in creating a survey that will help us identify areas for improvement? We'd like to know [how well the process works/what could be improved/what steps could be streamlined]. It would also be helpful to understand [what challenges they face/what they find most valuable/what suggestions they have for improvement]."

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Tips

Follow these guidelines to maximize your experience and unlock the full potential of your conversations with Mate Chat.
Experiment with different prompt formats: The format of the prompt can have a big impact on the quality of the generated text. Experimenting with different prompts can help you understand what works best for your specific use case.
Play around with the temperature and top-k hyperparameters: These hyperparameters control the level of randomness and diversity in the generated text. Experimenting with different values can help you find the sweet spot that works best for your specific use case.
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